Browse by Subject "Artificial Intelligence"

The research presented here focuses on modeling machine-learning performance. The thesis introduces Seer, a system that generates empirical observations of classification-learning performance and then uses those observations ...

The risk reduction potential of the class of artificial neural networks based on the Barto-Sutton architecture is established. The risk associated with nuclear power operations is characterized by sequences of discrete ...

Sensory feedback plays an important role in adaptive control of insect leg movements as required, for example, in agile locomotion over irregular terrain. Functionally, insect legs are not just effectors--they are also ...

The main focus of research in computer vision in the past has been on polyhedral objects that give rise to viewpoint-independent edges in the image. This thesis focuses on smooth curved objects that give rise to ...

Clustering is the problem of finding a good organization for data. Because there are many kinds of clustering problems, and because there are many possible clusterings for any data set, clustering programs use knowledge ...

This research focuses on analogical reasoning as applied to the problem of software reuse at the level of the system architecture. The resulting methodology may be thought of as a hybrid approach to software reuse, as it ...

In the past, research has shown that the use of high-level test knowledge can be used to greatly accelerate the test generation process. The problem was that no techniques were developed to extract this knowledge from a ...

Applying conventional reinforcement to complex domains requires the use of an overly simplified task model, or a large amount of training experience. This problem results from the need to experience everything about an ...

The objective of this thesis is to design a new classification-tree algorithm which will outperform current algorithms with superior decision trees. The problem of generating a classification tree with the minimum path ...

In order for a machine learning effort to succeed, an appropriate model must be chosen. This is a difficult task in which one must balance flexibility, so that the model can capture the complexities of the domain, and ...

This thesis deals with incorporating artificial intelligence into a humanoid robot by making a cognitive model of the learning process. The goal is to “teach” a specialized humanoid robot, the iCub robot, to solve any ...

Statistical machine learning has achieved great success in many fields in the last few decades. However, there remain classification problems that computers still struggle to match human performance. Many such problems ...